Is this course really 100% online? Do I need to attend any classes in person?

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Can I just enroll in a single course?

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Can I take the course for free?

No, you cannot take this course for free. When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you cannot afford the fee, you can apply for financial aid.

Large Language Models 专项课程

Master Advanced LLM Techniques With H2O.ai Tools. Learn to develop, fine-tune, and optimize large language models using H2O.ai's comprehensive GenAI ecosystem while mastering essential NLP techniques.

位教师：Andreea Turcu

包含在 Coursera Plus 中

了解更多

3 门课程系列

深入学习学科知识

3.6

（12 条评论）

中级等级

推荐体验

4 小时完成

灵活的计划

自行安排学习进度

3 门课程系列

深入学习学科知识

3.6

（12 条评论）

中级等级

推荐体验

4 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Foundations and evolution of large language models, including transformer architecture and pre-training.
Data preparation and fine-tuning techniques using LLM DataStudio.
Advanced NLP workflows, including model evaluation and customization with H2O.ai tools like h2oGPT.

要了解的详细信息

可分享的证书

添加到您的领英档案

授课语言：英语（English）

了解顶级公司的员工如何掌握热门技能

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Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

精进特定领域的专业知识

向大学和行业专家学习热门技能
借助实践项目精通一门科目或一个工具
培养对关键概念的深入理解
通过 H2O.ai 获得职业证书

专业化 - 3门课程系列

The Large Language Models Specialization equips learners with a solid foundation and advanced skills in NLP, covering LLM fundamentals, data preparation, fine-tuning, and advanced techniques. Through three progressive levels, learners will gain hands-on experience with H2O.ai tools like LLM DataStudio, h2oGPT, and EvalGPT, preparing them to excel in AI-driven NLP roles.

应用的学习项目

Throughout this specialization, you will work on practical projects involving custom GPT model creation, dataset preparation, and model evaluation using H2O.ai tools (such as LLM DataStudio and h2oGPT) , culminating in the development of production-ready LLM applications.

H2O ai Large Language Models (LLMs) - Level 1

第 1 门课程1小时

您将学到什么

Understand the definition and role of language models in natural language understanding.
Explore the evolution and techniques commonly used in language models.
Identify real-world applications of language models across various industries.
Master the basics of neural networks, deep learning, and transformer architecture.

您将获得的技能

类别：Large Language Modeling

类别：Natural Language Processing

类别：Deep Learning

类别：Artificial Intelligence and Machine Learning (AI/ML)

类别：Artificial Neural Networks

类别：Generative AI

类别：Prompt Engineering

类别：LLM Application

H2O ai Large Language Models (LLMs) - Level 2

第 2 门课程3小时

您将学到什么

Learn to prepare and clean datasets for NLP, ensuring high-quality data to improve model outcomes.
Explore LLM DataStudio’s workflows, customize interfaces, and implement efficient data management strategies.
Apply advanced fine-tuning techniques in H2O LLM Studio to optimize language models for specific NLP tasks.

您将获得的技能

类别：Data Cleansing

类别：Data Quality

类别：Large Language Modeling

类别：MLOps (Machine Learning Operations)

类别：Performance Tuning

类别：Data Transformation

类别：Data Management

类别：Natural Language Processing

类别：Verification And Validation

类别：Data Validation

H2O ai Large Language Models (LLMs) - Level 3

第 3 门课程2小时

您将学到什么

Build custom h2oGPT models using H2O ai tools and techniques.
Employ various evaluation methods to effectively assess model performance.
Understand and utilize the functionalities of LLM EvalGPT.
Analyze and navigate the components of the H2O ai Generative AI Ecosystem.

您将获得的技能

类别：Large Language Modeling

类别：Benchmarking

类别：Program Evaluation

类别：Training Programs

类别：Prompt Engineering

类别：Generative AI

类别：Artificial Neural Networks

类别：Data Processing

类别：LLM Application

类别：Applied Machine Learning

获得职业证书

将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。

位教师

Andreea Turcu

H2O.ai

8 门课程2,208 名学生

提供方

H2O.ai

人们为什么选择 Coursera 来帮助自己实现职业发展

Felipe M.

自 2018开始学习的学生

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Jennifer J.

自 2020开始学习的学生

''我直接将从课程中学到的概念和技能应用到一个令人兴奋的新工作项目中。'

Larry W.

自 2021开始学习的学生

''如果我的大学不提供我需要的主题课程，Coursera 便是最好的去处之一。'

Chaitanya A.

''学习不仅仅是在工作中做的更好：它远不止于此。Coursera 让我无限制地学习。'

通过 Coursera Plus 开启新生涯

无限制访问 10,000+ 世界一流的课程、实践项目和就业就绪证书课程 - 所有这些都包含在您的订阅中

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获取世界一流大学的学位 - 100% 在线

探索学位

加入超过 3400 家选择 Coursera for Business 的全球公司

提升员工的技能，使其在数字经济中脱颖而出

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常见问题

The complete specialization takes approximately 5 hours to complete, including quizzes across all three levels. (Level 1 takes 1 hour and 20 minutes, Level 2 takes 1 hour and 58 minutes, and Level 3 takes 1 hour and 36 minutes, including quizzes).

Basic understanding of machine learning, Python programming, and NLP concepts is recommended for this Learning Path.

Yes, the courses should be taken sequentially from Level 1 through Level 3, as each level builds upon knowledge gained in the previous one.